[Numpy-discussion] Error building numpy (1.5.1 and 1.6.1rc3) with python2.7 debug
Charles R Harris
Fri Aug 5 23:25:04 CDT 2011
On Fri, Aug 5, 2011 at 5:37 PM, Sandro Tosi <email@example.com> wrote:
> On Sat, Jul 16, 2011 at 22:45, Bruce Southey <firstname.lastname@example.org> wrote:
> > On Sat, Jul 16, 2011 at 4:34 AM, Sandro Tosi <email@example.com> wrote:
> >> Hello,
> >> while preparing a test upload for 1.6.1rc3 in Debian, I noticed that
> >> it gets an error when building blas with python 2.7 in the debug
> >> flavor, the build log is at . It's also been confirmed it fails
> >> also with 1.5.1 
> >> 
> >>  http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=634012
> >> I think it might be a toolchain change in Debian (since 1.5.1 was
> >> built successfully and now it fails), but could you please give me a
> >> hand in debugging the issue?
> >> Thanks in advance,
> >> --
> >> Sandro Tosi (aka morph, morpheus, matrixhasu)
> >> My website: http://matrixhasu.altervista.org/
> >> Me at Debian: http://wiki.debian.org/SandroTosi
> >> _______________________________________________
> >> NumPy-Discussion mailing list
> >> NumPy-Discussion@scipy.org
> >> http://mail.scipy.org/mailman/listinfo/numpy-discussion
> > Hi,
> > What do you mean by 'python2.7 debug'?
> > Numpy 1.6.1rc's and earlier build and install with Python 2.7 build in
> > debug mode ($ ./configure --with-pydebug
> > ) on 64-bit Fedora 14 and 15. But, if I can follow you build process
> > (should be the plain 'python setup.py build' to be useful) I think
> > numpy is not finding the correct blas/lapack/atlas libraries so either
> > you may need a site.cfg for that system or install those in the Linux
> > standard locations such as /usr/lib64.
> > You should probably try building without blas, lapack and atlas etc.:
> > BLAS=None LAPACK=None ATLAS=None python setup.py build
> It's not a matter of not finding the headers: the same build process
> succeeds if run using gfortran-4.5 while fails if run with
> gfortran-4.6 , it's likely that gcc is more strict now and something
> needs to be adapted in numpy.
> Has someone successfully built numpy with gcc 4.6 ?
Yes, all the time ;)
gcc version 4.6.0 20110603 (Red Hat 4.6.0-10) (GCC)
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